Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, November 27-30, 2023, Proceedings, Part II
Published on 26. November 2023
XVII, 135 pages
978-3-031-49249-5 (ISBN)
Description
This 2-volume set, LNCS 14469 and 14470, constitutes the proceedings of the 26th Iberoamerican Congress on Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, CIARP 2023, which took place in Coimbra, Portugal, in November 2023.
The 61 papers presented were carefully reviewed and selected from 106 submissions. And present research in the fields of pattern recognition, artificial intelligence, and related areas.
The 61 papers presented were carefully reviewed and selected from 106 submissions. And present research in the fields of pattern recognition, artificial intelligence, and related areas.
More details
Series
Edition
1st ed. 2024
Language
English
Place of publication
Cham
Switzerland
Publishing group
Springer International Publishing
Product notice
Reflowable
Illustrations
XVII, 135 p. 52 illus., 46 illus. in color.
File size
19,34 MB
ISBN-13
978-3-031-49249-5 (9783031492495)
DOI
10.1007/978-3-031-49249-5
Schweitzer Classification
Other editions
Additional editions
Verónica Vasconcelos | Inês Domingues | Simão Paredes
Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications
26th Iberoamerican Congress, CIARP 2023, Coimbra, Portugal, November 27-30, 2023, Proceedings, Part II
Book
11/2023
Springer
€128.39
Shipment within 15-20 days
Content
Research in areas such as biometrics.- character recognition.- classification clustering ensembles.- multi-classifiers.- data mining and big data.- feature extraction, discretization and selection.- fuzzy logic and fuzzy image processing.- gesture recognition, hybrid methods.- image description and registration.- image enhancement, restoration and segmentation.- image understanding.- image fusion.- information theory.- intelligent systems.- machine vision.- neural network architectures.- object recognition.- pattern recognition applications.- sensors and sensor fusion.- soft computing techniques.- statistical methods.- syntactical methods.- deep learning.- ransfer learning.- natural language processing.
